Overview

Brought to you by YData

Dataset statistics

Number of variables	30
Number of observations	168
Missing cells	1061
Missing cells (%)	21.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	34.9 KiB
Average record size in memory	212.8 B

Variable types

Categorical	6
Numeric	11
Boolean	4
Text	5
Unsupported	4

Alerts

`año` is highly overall correlated with `calidad_de_agua` and 13 other fields	High correlation
`calidad_de_agua` is highly overall correlated with `año` and 1 other fields	High correlation
`campaña` is highly overall correlated with `año` and 3 other fields	High correlation
`clorofila_a_ug_l` is highly overall correlated with `año` and 3 other fields	High correlation
`codigo` is highly overall correlated with `microcistina_ug_l` and 1 other fields	High correlation
`color` is highly overall correlated with `espumas` and 2 other fields	High correlation
`cr_total_mg_l` is highly overall correlated with `año`	High correlation
`dbo_mg_l` is highly overall correlated with `año` and 2 other fields	High correlation
`dqo_mg_l` is highly overall correlated with `año` and 2 other fields	High correlation
`espumas` is highly overall correlated with `color` and 3 other fields	High correlation
`fecha` is highly overall correlated with `año` and 3 other fields	High correlation
`ica` is highly overall correlated with `año` and 2 other fields	High correlation
`mat_susp` is highly overall correlated with `color` and 3 other fields	High correlation
`microcistina_ug_l` is highly overall correlated with `año` and 7 other fields	High correlation
`od` is highly overall correlated with `año` and 1 other fields	High correlation
`olores` is highly overall correlated with `color` and 3 other fields	High correlation
`ph` is highly overall correlated with `año` and 1 other fields	High correlation
`sitios` is highly overall correlated with `codigo` and 1 other fields	High correlation
`tem_agua` is highly overall correlated with `año` and 5 other fields	High correlation
`tem_aire` is highly overall correlated with `año` and 3 other fields	High correlation
`turbiedad_ntu` is highly overall correlated with `año`	High correlation
`año` is highly imbalanced (86.5%)	Imbalance
`tem_agua` has 23 (13.7%) missing values	Missing
`tem_aire` has 24 (14.3%) missing values	Missing
`od` has 36 (21.4%) missing values	Missing
`ph` has 56 (33.3%) missing values	Missing
`dbo_mg_l` has 80 (47.6%) missing values	Missing
`dqo_mg_l` has 72 (42.9%) missing values	Missing
`turbiedad_ntu` has 19 (11.3%) missing values	Missing
`hidr_deriv_petr_ug_l` has 168 (100.0%) missing values	Missing
`cr_total_mg_l` has 131 (78.0%) missing values	Missing
`cd_total_mg_l` has 168 (100.0%) missing values	Missing
`clorofila_a_ug_l` has 92 (54.8%) missing values	Missing
`microcistina_ug_l` has 161 (95.8%) missing values	Missing
`ica` has 14 (8.3%) missing values	Missing
`calidad_de_agua` has 14 (8.3%) missing values	Missing
`sitios` is uniformly distributed	Uniform
`codigo` is uniformly distributed	Uniform
`p_total_l_mg_l` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`fosf_ortofos_mg_l` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hidr_deriv_petr_ug_l` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cd_total_mg_l` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`clorofila_a_ug_l` has 5 (3.0%) zeros	Zeros

Reproduction

Analysis started	2024-10-30 21:53:21.969473
Analysis finished	2024-10-30 21:54:02.513636
Duration	40.54 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

sitios
Categorical

High correlation Uniform

Distinct	42
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Canal Villanueva y Río Luján	4
Río Lujan y Arroyo Caraguatá	4
Canal Aliviador y Río Lujan	4
Río Carapachay y Arroyo Gallo Fiambre	4
Río Reconquista y Río Lujan	4
Other values (37)	148

Length

Max length	41
Median length	27.5
Mean length	23.238095
Min length	8

Characters and Unicode

Total characters	3904
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Canal Villanueva y Río Luján
2nd row	Río Lujan y Arroyo Caraguatá
3rd row	Canal Aliviador y Río Lujan
4th row	Río Carapachay y Arroyo Gallo Fiambre
5th row	Río Reconquista y Río Lujan

Common Values

Value	Count	Frequency (%)
Canal Villanueva y Río Luján	4	2.4%
Río Lujan y Arroyo Caraguatá	4	2.4%
Canal Aliviador y Río Lujan	4	2.4%
Río Carapachay y Arroyo Gallo Fiambre	4	2.4%
Río Reconquista y Río Lujan	4	2.4%
Rio Tigre 100m antes del Rio Luján	4	2.4%
Río Lujan y Canal San Fernando	4	2.4%
Río Capitán y Río San Antonio	4	2.4%
Arroyo Abra Vieja y Santa Rosa	4	2.4%
Del Arca	4	2.4%
Other values (32)	128	76.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
y	40	5.9%
río	36	5.3%
de	32	4.7%
arroyo	24	3.5%
espigón	16	2.4%
lujan	16	2.4%
canal	12	1.8%
la	12	1.8%
playa	12	1.8%
reserva	12	1.8%
Other values (94)	468	68.8%

Most occurring characters

Value	Count	Frequency (%)
	512	13.1%
a	476	12.2%
o	312	8.0%
e	228	5.8%
r	224	5.7%
l	192	4.9%
n	192	4.9%
i	160	4.1%
s	120	3.1%
c	108	2.8%
Other values (47)	1380	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3904	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	512	13.1%
a	476	12.2%
o	312	8.0%
e	228	5.8%
r	224	5.7%
l	192	4.9%
n	192	4.9%
i	160	4.1%
s	120	3.1%
c	108	2.8%
Other values (47)	1380	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3904	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	512	13.1%
a	476	12.2%
o	312	8.0%
e	228	5.8%
r	224	5.7%
l	192	4.9%
n	192	4.9%
i	160	4.1%
s	120	3.1%
c	108	2.8%
Other values (47)	1380	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3904	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	512	13.1%
a	476	12.2%
o	312	8.0%
e	228	5.8%
r	224	5.7%
l	192	4.9%
n	192	4.9%
i	160	4.1%
s	120	3.1%
c	108	2.8%
Other values (47)	1380	35.3%

codigo
Categorical

High correlation Uniform

Distinct	42
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

TI001	4
TI006	4
TI002	4
TI003	4
TI004	4
Other values (37)	148

Length

Max length	8
Median length	5
Mean length	5.0714286
Min length	5

Characters and Unicode

Total characters	852
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TI001
2nd row	TI006
3rd row	TI002
4th row	TI003
5th row	TI004

Common Values

Value	Count	Frequency (%)
TI001	4	2.4%
TI006	4	2.4%
TI002	4	2.4%
TI003	4	2.4%
TI004	4	2.4%
TI005	4	2.4%
TI007	4	2.4%
TI008	4	2.4%
TI009	4	2.4%
SF015	4	2.4%
Other values (32)	128	76.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ti001	4	2.4%
ti006	4	2.4%
ti002	4	2.4%
ti003	4	2.4%
ti004	4	2.4%
ti005	4	2.4%
ti007	4	2.4%
ti008	4	2.4%
ti009	4	2.4%
sf015	4	2.4%
Other values (32)	128	76.2%

Most occurring characters

Value	Count	Frequency (%)
0	204	23.9%
I	52	6.1%
2	44	5.2%
S	40	4.7%
4	40	4.7%
3	40	4.7%
T	36	4.2%
1	36	4.2%
5	36	4.2%
A	36	4.2%
Other values (20)	288	33.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	852	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	204	23.9%
I	52	6.1%
2	44	5.2%
S	40	4.7%
4	40	4.7%
3	40	4.7%
T	36	4.2%
1	36	4.2%
5	36	4.2%
A	36	4.2%
Other values (20)	288	33.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	852	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	204	23.9%
I	52	6.1%
2	44	5.2%
S	40	4.7%
4	40	4.7%
3	40	4.7%
T	36	4.2%
1	36	4.2%
5	36	4.2%
A	36	4.2%
Other values (20)	288	33.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	852	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	204	23.9%
I	52	6.1%
2	44	5.2%
S	40	4.7%
4	40	4.7%
3	40	4.7%
T	36	4.2%
1	36	4.2%
5	36	4.2%
A	36	4.2%
Other values (20)	288	33.8%

fecha
Categorical

High correlation

Distinct	7
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

23/2/2022	42
4/5/2022	42
23/8/2022	42
31/10/2022	35
no midieron este día	4
Other values (2)	3

Length

Max length	20
Median length	15.5
Mean length	9.2440476
Min length	8

Characters and Unicode

Total characters	1553
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	23/2/2022
2nd row	23/2/2022
3rd row	23/2/2022
4th row	23/2/2022
5th row	23/2/2022

Common Values

Value	Count	Frequency (%)
23/2/2022	42	25.0%
4/5/2022	42	25.0%
23/8/2022	42	25.0%
31/10/2022	35	20.8%
no midieron este día	4	2.4%
31/10/0202	2	1.2%
no se midió	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
23/2/2022	42	23.1%
4/5/2022	42	23.1%
23/8/2022	42	23.1%
31/10/2022	35	19.2%
no	5	2.7%
midieron	4	2.2%
este	4	2.2%
día	4	2.2%
31/10/0202	2	1.1%
se	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
2	613	39.5%
/	326	21.0%
0	202	13.0%
3	121	7.8%
1	74	4.8%
4	42	2.7%
5	42	2.7%
8	42	2.7%
	14	0.9%
e	13	0.8%
Other values (11)	64	4.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1553	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	613	39.5%
/	326	21.0%
0	202	13.0%
3	121	7.8%
1	74	4.8%
4	42	2.7%
5	42	2.7%
8	42	2.7%
	14	0.9%
e	13	0.8%
Other values (11)	64	4.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1553	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	613	39.5%
/	326	21.0%
0	202	13.0%
3	121	7.8%
1	74	4.8%
4	42	2.7%
5	42	2.7%
8	42	2.7%
	14	0.9%
e	13	0.8%
Other values (11)	64	4.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1553	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	613	39.5%
/	326	21.0%
0	202	13.0%
3	121	7.8%
1	74	4.8%
4	42	2.7%
5	42	2.7%
8	42	2.7%
	14	0.9%
e	13	0.8%
Other values (11)	64	4.1%

año
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

2022	163
no midieron este día	4
no se midió	1

Length

Max length	20
Median length	4
Mean length	4.422619
Min length	4

Characters and Unicode

Total characters	743
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	2022
2nd row	2022
3rd row	2022
4th row	2022
5th row	2022

Common Values

Value	Count	Frequency (%)
2022	163	97.0%
no midieron este día	4	2.4%
no se midió	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022	163	89.6%
no	5	2.7%
midieron	4	2.2%
este	4	2.2%
día	4	2.2%
se	1	0.5%
midió	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
2	489	65.8%
0	163	21.9%
	14	1.9%
e	13	1.7%
i	10	1.3%
o	9	1.2%
n	9	1.2%
d	9	1.2%
m	5	0.7%
s	5	0.7%
Other values (5)	17	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	489	65.8%
0	163	21.9%
	14	1.9%
e	13	1.7%
i	10	1.3%
o	9	1.2%
n	9	1.2%
d	9	1.2%
m	5	0.7%
s	5	0.7%
Other values (5)	17	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	489	65.8%
0	163	21.9%
	14	1.9%
e	13	1.7%
i	10	1.3%
o	9	1.2%
n	9	1.2%
d	9	1.2%
m	5	0.7%
s	5	0.7%
Other values (5)	17	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	489	65.8%
0	163	21.9%
	14	1.9%
e	13	1.7%
i	10	1.3%
o	9	1.2%
n	9	1.2%
d	9	1.2%
m	5	0.7%
s	5	0.7%
Other values (5)	17	2.3%

campaña
Categorical

High correlation

Distinct	6
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Verano	42
otoño	42
invierno	42
Primavera	37
no midieron este día	4

Length

Max length	20
Median length	10
Mean length	7.2738095
Min length	5

Characters and Unicode

Total characters	1222
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	Verano
2nd row	Verano
3rd row	Verano
4th row	Verano
5th row	Verano

Common Values

Value	Count	Frequency (%)
Verano	42	25.0%
otoño	42	25.0%
invierno	42	25.0%
Primavera	37	22.0%
no midieron este día	4	2.4%
no se midió	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
verano	42	23.1%
otoño	42	23.1%
invierno	42	23.1%
primavera	37	20.3%
no	5	2.7%
midieron	4	2.2%
este	4	2.2%
día	4	2.2%
se	1	0.5%
midió	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
o	219	17.9%
r	162	13.3%
n	135	11.0%
e	134	11.0%
i	131	10.7%
a	120	9.8%
v	79	6.5%
t	46	3.8%
V	42	3.4%
ñ	42	3.4%
Other values (7)	112	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1222	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	219	17.9%
r	162	13.3%
n	135	11.0%
e	134	11.0%
i	131	10.7%
a	120	9.8%
v	79	6.5%
t	46	3.8%
V	42	3.4%
ñ	42	3.4%
Other values (7)	112	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1222	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	219	17.9%
r	162	13.3%
n	135	11.0%
e	134	11.0%
i	131	10.7%
a	120	9.8%
v	79	6.5%
t	46	3.8%
V	42	3.4%
ñ	42	3.4%
Other values (7)	112	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1222	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	219	17.9%
r	162	13.3%
n	135	11.0%
e	134	11.0%
i	131	10.7%
a	120	9.8%
v	79	6.5%
t	46	3.8%
V	42	3.4%
ñ	42	3.4%
Other values (7)	112	9.2%

tem_agua
Real number (ℝ)

High correlation Missing

Distinct	91
Distinct (%)	62.8%
Missing	23
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	17.823655

Minimum	6
Maximum	27.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	6
5-th percentile	10
Q1	14.6
median	17.9
Q3	20.4
95-th percentile	25.78
Maximum	27.4
Range	21.4
Interquartile range (IQR)	5.8

Descriptive statistics

Standard deviation	4.8486881
Coefficient of variation (CV)	0.27203669
Kurtosis	-0.40385925
Mean	17.823655
Median Absolute Deviation (MAD)	3
Skewness	-0.073431926
Sum	2584.43
Variance	23.509776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	7	4.2%
20	6	3.6%
18.6	5	3.0%
18.5	5	3.0%
17	4	2.4%
23	3	1.8%
17.1	3	1.8%
15.6	3	1.8%
24.7	3	1.8%
18.2	3	1.8%
Other values (81)	103	61.3%
(Missing)	23	13.7%

Value	Count	Frequency (%)
6	1	0.6%
7	2	1.2%
8	2	1.2%
9	1	0.6%
10	7	4.2%
10.01	1	0.6%
11	1	0.6%
11.01	1	0.6%
12	1	0.6%
12.7	2	1.2%

Value	Count	Frequency (%)
27.4	1	0.6%
27	1	0.6%
26.5	1	0.6%
26.3	1	0.6%
26.1	2	1.2%
26	1	0.6%
25.8	1	0.6%
25.7	1	0.6%
25.4	2	1.2%
25.2	1	0.6%

tem_aire
Real number (ℝ)

High correlation Missing

Distinct	29
Distinct (%)	20.1%
Missing	24
Missing (%)	14.3%
Infinite	0
Infinite (%)	0.0%
Mean	15.793056

Minimum	4
Maximum	27
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	4
5-th percentile	8
Q1	13
median	14
Q3	19
95-th percentile	25.2
Maximum	27
Range	23
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.1243509
Coefficient of variation (CV)	0.32446862
Kurtosis	-0.25796949
Mean	15.793056
Median Absolute Deviation (MAD)	2
Skewness	0.47535054
Sum	2274.2
Variance	26.258972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
14	25	14.9%
13	15	8.9%
12	12	7.1%
16	11	6.5%
17	9	5.4%
15	7	4.2%
27	6	3.6%
22	6	3.6%
8	5	3.0%
23	5	3.0%
Other values (19)	43	25.6%
(Missing)	24	14.3%

Value	Count	Frequency (%)
4	1	0.6%
5	1	0.6%
6	1	0.6%
7	1	0.6%
8	5	3.0%
9	3	1.8%
10	5	3.0%
11	4	2.4%
12	12	7.1%
12.3	1	0.6%

Value	Count	Frequency (%)
27	6	3.6%
26	1	0.6%
25.2	3	1.8%
25	1	0.6%
23.3	5	3.0%
23	5	3.0%
22.2	2	1.2%
22	6	3.6%
21	2	1.2%
20	4	2.4%

od
Real number (ℝ)

High correlation Missing

Distinct	126
Distinct (%)	95.5%
Missing	36
Missing (%)	21.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.7473485

Minimum	0.36
Maximum	17.61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.36
5-th percentile	2.0035
Q1	5.065
median	6.65
Q3	8.58
95-th percentile	10.943
Maximum	17.61
Range	17.25
Interquartile range (IQR)	3.515

Descriptive statistics

Standard deviation	2.8357637
Coefficient of variation (CV)	0.42027823
Kurtosis	0.85228892
Mean	6.7473485
Median Absolute Deviation (MAD)	1.74
Skewness	0.2222464
Sum	890.65
Variance	8.0415555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.3	2	1.2%
4.28	2	1.2%
7.85	2	1.2%
9	2	1.2%
7	2	1.2%
5.36	2	1.2%
1.5	1	0.6%
6.3	1	0.6%
4.49	1	0.6%
3.85	1	0.6%
Other values (116)	116	69.0%
(Missing)	36	21.4%

Value	Count	Frequency (%)
0.36	1	0.6%
0.45	1	0.6%
1.02	1	0.6%
1.13	1	0.6%
1.39	1	0.6%
1.5	1	0.6%
1.8	1	0.6%
2.17	1	0.6%
2.22	1	0.6%
2.25	1	0.6%

Value	Count	Frequency (%)
17.61	1	0.6%
12.84	1	0.6%
12.15	1	0.6%
12	1	0.6%
11.82	1	0.6%
11.05	1	0.6%
11.02	1	0.6%
10.88	1	0.6%
10.83	1	0.6%
10.6	1	0.6%

ph
Real number (ℝ)

High correlation Missing

Distinct	91
Distinct (%)	81.2%
Missing	56
Missing (%)	33.3%
Infinite	0
Infinite (%)	0.0%
Mean	7.57

Minimum	5
Maximum	10.02
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	5
5-th percentile	6.5355
Q1	7.075
median	7.485
Q3	8.0025
95-th percentile	8.884
Maximum	10.02
Range	5.02
Interquartile range (IQR)	0.9275

Descriptive statistics

Standard deviation	0.7703632
Coefficient of variation (CV)	0.10176528
Kurtosis	1.5189961
Mean	7.57
Median Absolute Deviation (MAD)	0.475
Skewness	0.42013799
Sum	847.84
Variance	0.59345946
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.4	6	3.6%
7.6	4	2.4%
7.76	3	1.8%
7.3	3	1.8%
7.99	3	1.8%
7.5	2	1.2%
7.8	2	1.2%
7.12	2	1.2%
8.11	2	1.2%
6.76	2	1.2%
Other values (81)	83	49.4%
(Missing)	56	33.3%

Value	Count	Frequency (%)
5	1	0.6%
6.2	1	0.6%
6.37	1	0.6%
6.39	1	0.6%
6.48	1	0.6%
6.53	1	0.6%
6.54	1	0.6%
6.56	2	1.2%
6.59	1	0.6%
6.66	1	0.6%

Value	Count	Frequency (%)
10.02	1	0.6%
9.98	1	0.6%
9.39	1	0.6%
9.16	1	0.6%
9.01	1	0.6%
8.95	1	0.6%
8.83	1	0.6%
8.81	1	0.6%
8.62	1	0.6%
8.59	1	0.6%

olores
Boolean

High correlation

Distinct	2
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

False	120
True	48

Value	Count	Frequency (%)
False	120	71.4%
True	48	28.6%

color
Boolean

High correlation

Distinct	2
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

False	119
True	49

Value	Count	Frequency (%)
False	119	70.8%
True	49	29.2%

espumas
Boolean

High correlation

Distinct	2
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

False	127
True	41

Value	Count	Frequency (%)
False	127	75.6%
True	41	24.4%

mat_susp
Boolean

High correlation

Distinct	2
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

False	106
True	62

Value	Count	Frequency (%)
False	106	63.1%
True	62	36.9%

colif_fecales_ufc_100ml
Text

Distinct	90
Distinct (%)	53.9%
Missing	1
Missing (%)	0.6%
Memory size	1.4 KiB

Length

Max length	20
Median length	11
Mean length	5.1197605
Min length	2

Characters and Unicode

Total characters	855
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	31.1%

Sample

1st row	2200
2nd row	1200
3rd row	1800
4th row	1400
5th row	1100

Value	Count	Frequency (%)
no	14	7.0%
se	10	5.0%
midió	10	5.0%
20000	6	3.0%
1400	5	2.5%
1000	5	2.5%
1800	5	2.5%
900	4	2.0%
3000	4	2.0%
40000	4	2.0%
Other values (84)	132	66.3%

Most occurring characters

Value	Count	Frequency (%)
0	420	49.1%
1	57	6.7%
2	45	5.3%
	32	3.7%
6	28	3.3%
i	28	3.3%
4	25	2.9%
5	23	2.7%
e	22	2.6%
3	22	2.6%
Other values (13)	153	17.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	855	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	420	49.1%
1	57	6.7%
2	45	5.3%
	32	3.7%
6	28	3.3%
i	28	3.3%
4	25	2.9%
5	23	2.7%
e	22	2.6%
3	22	2.6%
Other values (13)	153	17.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	855	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	420	49.1%
1	57	6.7%
2	45	5.3%
	32	3.7%
6	28	3.3%
i	28	3.3%
4	25	2.9%
5	23	2.7%
e	22	2.6%
3	22	2.6%
Other values (13)	153	17.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	855	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	420	49.1%
1	57	6.7%
2	45	5.3%
	32	3.7%
6	28	3.3%
i	28	3.3%
4	25	2.9%
5	23	2.7%
e	22	2.6%
3	22	2.6%
Other values (13)	153	17.9%

escher_coli_ufc_100ml
Text

Distinct	79
Distinct (%)	47.3%
Missing	1
Missing (%)	0.6%
Memory size	1.4 KiB

Length

Max length	20
Median length	11
Mean length	4.0239521
Min length	1

Characters and Unicode

Total characters	672
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	29.9%

Sample

1st row	100
2nd row	200
3rd row	200
4th row	100
5th row	100

Value	Count	Frequency (%)
100	17	8.5%
200	15	7.5%
no	14	7.0%
se	10	5.0%
midió	10	5.0%
300	6	3.0%
600	5	2.5%
500	4	2.0%
1000	4	2.0%
10000	4	2.0%
Other values (73)	110	55.3%

Most occurring characters

Value	Count	Frequency (%)
0	273	40.6%
1	55	8.2%
2	36	5.4%
	32	4.8%
i	28	4.2%
3	28	4.2%
5	25	3.7%
6	24	3.6%
e	22	3.3%
n	18	2.7%
Other values (13)	131	19.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	672	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	273	40.6%
1	55	8.2%
2	36	5.4%
	32	4.8%
i	28	4.2%
3	28	4.2%
5	25	3.7%
6	24	3.6%
e	22	3.3%
n	18	2.7%
Other values (13)	131	19.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	672	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	273	40.6%
1	55	8.2%
2	36	5.4%
	32	4.8%
i	28	4.2%
3	28	4.2%
5	25	3.7%
6	24	3.6%
e	22	3.3%
n	18	2.7%
Other values (13)	131	19.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	672	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	273	40.6%
1	55	8.2%
2	36	5.4%
	32	4.8%
i	28	4.2%
3	28	4.2%
5	25	3.7%
6	24	3.6%
e	22	3.3%
n	18	2.7%
Other values (13)	131	19.5%

enteroc_ufc_100ml
Text

Distinct	86
Distinct (%)	51.5%
Missing	1
Missing (%)	0.6%
Memory size	1.4 KiB

Length

Max length	20
Median length	3
Mean length	3.7305389
Min length	1

Characters and Unicode

Total characters	623
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	29.3%

Sample

1st row	130
2nd row	400
3rd row	580
4th row	300
5th row	370

Value	Count	Frequency (%)
no	14	7.0%
se	10	5.0%
midió	10	5.0%
100	7	3.5%
300	6	3.0%
10	6	3.0%
50	6	3.0%
1500	5	2.5%
20	5	2.5%
2	5	2.5%
Other values (80)	125	62.8%

Most occurring characters

Value	Count	Frequency (%)
0	187	30.0%
1	53	8.5%
5	38	6.1%
2	36	5.8%
	32	5.1%
3	29	4.7%
i	28	4.5%
4	26	4.2%
e	22	3.5%
6	21	3.4%
Other values (13)	151	24.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	623	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	187	30.0%
1	53	8.5%
5	38	6.1%
2	36	5.8%
	32	5.1%
3	29	4.7%
i	28	4.5%
4	26	4.2%
e	22	3.5%
6	21	3.4%
Other values (13)	151	24.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	623	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	187	30.0%
1	53	8.5%
5	38	6.1%
2	36	5.8%
	32	5.1%
3	29	4.7%
i	28	4.5%
4	26	4.2%
e	22	3.5%
6	21	3.4%
Other values (13)	151	24.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	623	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	187	30.0%
1	53	8.5%
5	38	6.1%
2	36	5.8%
	32	5.1%
3	29	4.7%
i	28	4.5%
4	26	4.2%
e	22	3.5%
6	21	3.4%
Other values (13)	151	24.2%

nitrato_mg_l
Text

Distinct	87
Distinct (%)	51.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Length

Max length	20
Median length	3
Mean length	3.9404762
Min length	1

Characters and Unicode

Total characters	662
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	23.2%

Sample

1st row	2.9
2nd row	3.3
3rd row	6.5
4th row	7.4
5th row	8.8

Value	Count	Frequency (%)
no	14	7.0%
se	10	5.0%
midió	10	5.0%
3.3	5	2.5%
1.9	4	2.0%
5.1	4	2.0%
5.9	4	2.0%
3.7	4	2.0%
3.9	4	2.0%
midieron	4	2.0%
Other values (81)	137	68.5%

Most occurring characters

Value	Count	Frequency (%)
.	141	21.3%
1	60	9.1%
2	47	7.1%
3	46	6.9%
6	33	5.0%
	32	4.8%
5	31	4.7%
4	30	4.5%
i	28	4.2%
8	25	3.8%
Other values (15)	189	28.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	662	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	141	21.3%
1	60	9.1%
2	47	7.1%
3	46	6.9%
6	33	5.0%
	32	4.8%
5	31	4.7%
4	30	4.5%
i	28	4.2%
8	25	3.8%
Other values (15)	189	28.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	662	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	141	21.3%
1	60	9.1%
2	47	7.1%
3	46	6.9%
6	33	5.0%
	32	4.8%
5	31	4.7%
4	30	4.5%
i	28	4.2%
8	25	3.8%
Other values (15)	189	28.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	662	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	141	21.3%
1	60	9.1%
2	47	7.1%
3	46	6.9%
6	33	5.0%
	32	4.8%
5	31	4.7%
4	30	4.5%
i	28	4.2%
8	25	3.8%
Other values (15)	189	28.5%

nh4_mg_l
Text

Distinct	87
Distinct (%)	51.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

Length

Max length	20
Median length	11
Mean length	4.422619
Min length	1

Characters and Unicode

Total characters	743
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	32.1%

Sample

1st row	0.42
2nd row	0.51
3rd row	0.05
4th row	1
5th row	0.049

Value	Count	Frequency (%)
0.05	18	9.0%
no	14	7.0%
0.049	12	6.0%
se	10	5.0%
midió	10	5.0%
0.1	5	2.5%
0.41	5	2.5%
2	5	2.5%
1	4	2.0%
midieron	4	2.0%
Other values (80)	113	56.5%

Most occurring characters

Value	Count	Frequency (%)
.	138	18.6%
0	134	18.0%
1	54	7.3%
5	41	5.5%
2	36	4.8%
4	34	4.6%
	32	4.3%
9	30	4.0%
i	28	3.8%
3	24	3.2%
Other values (15)	192	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	138	18.6%
0	134	18.0%
1	54	7.3%
5	41	5.5%
2	36	4.8%
4	34	4.6%
	32	4.3%
9	30	4.0%
i	28	3.8%
3	24	3.2%
Other values (15)	192	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	138	18.6%
0	134	18.0%
1	54	7.3%
5	41	5.5%
2	36	4.8%
4	34	4.6%
	32	4.3%
9	30	4.0%
i	28	3.8%
3	24	3.2%
Other values (15)	192	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	743	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	138	18.6%
0	134	18.0%
1	54	7.3%
5	41	5.5%
2	36	4.8%
4	34	4.6%
	32	4.3%
9	30	4.0%
i	28	3.8%
3	24	3.2%
Other values (15)	192	25.8%

p_total_l_mg_l
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

fosf_ortofos_mg_l
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	1.4 KiB

dbo_mg_l
Real number (ℝ)

High correlation Missing

Distinct	51
Distinct (%)	58.0%
Missing	80
Missing (%)	47.6%
Infinite	0
Infinite (%)	0.0%
Mean	7.0659091

Minimum	1.9
Maximum	42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	1.9
5-th percentile	1.9
Q1	3.5
median	5.55
Q3	9.325
95-th percentile	15.65
Maximum	42
Range	40.1
Interquartile range (IQR)	5.825

Descriptive statistics

Standard deviation	5.6715439
Coefficient of variation (CV)	0.80266302
Kurtosis	15.813389
Mean	7.0659091
Median Absolute Deviation (MAD)	2.6
Skewness	3.114005
Sum	621.8
Variance	32.166411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.9	10	6.0%
12	5	3.0%
5.8	3	1.8%
14	3	1.8%
11	3	1.8%
5.2	3	1.8%
5	3	1.8%
9.4	3	1.8%
6.5	3	1.8%
3.5	2	1.2%
Other values (41)	50	29.8%
(Missing)	80	47.6%

Value	Count	Frequency (%)
1.9	10	6.0%
2	1	0.6%
2.3	1	0.6%
2.4	2	1.2%
2.5	2	1.2%
2.6	1	0.6%
2.8	1	0.6%
3.1	1	0.6%
3.3	1	0.6%
3.4	1	0.6%

Value	Count	Frequency (%)
42	1	0.6%
21	1	0.6%
18	2	1.2%
16	1	0.6%
15	1	0.6%
14	3	1.8%
12	5	3.0%
11	3	1.8%
10	2	1.2%
9.4	3	1.8%

dqo_mg_l
Real number (ℝ)

High correlation Missing

Distinct	47
Distinct (%)	49.0%
Missing	72
Missing (%)	42.9%
Infinite	0
Infinite (%)	0.0%
Mean	51.302083

Minimum	29
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	29
5-th percentile	29
Q1	29
median	41.5
Q3	64.25
95-th percentile	91
Maximum	180
Range	151
Interquartile range (IQR)	35.25

Descriptive statistics

Standard deviation	26.944043
Coefficient of variation (CV)	0.52520369
Kurtosis	5.3700302
Mean	51.302083
Median Absolute Deviation (MAD)	12.5
Skewness	1.9123341
Sum	4925
Variance	725.98147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
29	27	16.1%
39	4	2.4%
48	3	1.8%
33	3	1.8%
30	3	1.8%
36	3	1.8%
46	2	1.2%
34	2	1.2%
63	2	1.2%
54	2	1.2%
Other values (37)	45	26.8%
(Missing)	72	42.9%

Value	Count	Frequency (%)
29	27	16.1%
30	3	1.8%
31	1	0.6%
32	2	1.2%
33	3	1.8%
34	2	1.2%
35	1	0.6%
36	3	1.8%
37	1	0.6%
39	4	2.4%

Value	Count	Frequency (%)
180	1	0.6%
135	1	0.6%
130	1	0.6%
110	1	0.6%
94	1	0.6%
90	1	0.6%
89	1	0.6%
88	1	0.6%
84	1	0.6%
82	2	1.2%

turbiedad_ntu
Real number (ℝ)

High correlation Missing

Distinct	56
Distinct (%)	37.6%
Missing	19
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	35.240268

Minimum	2.5
Maximum	130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	2.5
5-th percentile	10.4
Q1	18
median	28
Q3	45
95-th percentile	85
Maximum	130
Range	127.5
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	24.106259
Coefficient of variation (CV)	0.68405437
Kurtosis	1.4221911
Mean	35.240268
Median Absolute Deviation (MAD)	11
Skewness	1.3000315
Sum	5250.8
Variance	581.11175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12	7	4.2%
45	6	3.6%
19	6	3.6%
22	6	3.6%
90	5	3.0%
17	5	3.0%
28	5	3.0%
23	5	3.0%
26	5	3.0%
13	5	3.0%
Other values (46)	94	56.0%
(Missing)	19	11.3%

Value	Count	Frequency (%)
2.5	1	0.6%
3.3	1	0.6%
4.1	1	0.6%
6	1	0.6%
7.5	1	0.6%
8.9	1	0.6%
9.3	1	0.6%
10	1	0.6%
11	2	1.2%
12	7	4.2%

Value	Count	Frequency (%)
130	1	0.6%
110	1	0.6%
90	5	3.0%
85	2	1.2%
84	1	0.6%
80	2	1.2%
75	3	1.8%
71	1	0.6%
70	3	1.8%
67	1	0.6%

hidr_deriv_petr_ug_l
Unsupported

Missing Rejected Unsupported

Missing	168
Missing (%)	100.0%
Memory size	1.4 KiB

cr_total_mg_l
Real number (ℝ)

High correlation Missing

Distinct	23
Distinct (%)	62.2%
Missing	131
Missing (%)	78.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1137676

Minimum	0.005
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.005
5-th percentile	0.00508
Q1	0.0064
median	0.0082
Q3	5
95-th percentile	8.4
Maximum	12
Range	11.995
Interquartile range (IQR)	4.9936

Descriptive statistics

Standard deviation	3.474852
Coefficient of variation (CV)	1.643914
Kurtosis	0.63241462
Mean	2.1137676
Median Absolute Deviation (MAD)	0.0022
Skewness	1.3536248
Sum	78.2094
Variance	12.074596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0.007	5	3.0%
6	4	2.4%
0.006	3	1.8%
0.011	2	1.2%
7	2	1.2%
0.0061	2	1.2%
0.005	2	1.2%
5	2	1.2%
0.009	1	0.6%
0.01	1	0.6%
Other values (13)	13	7.7%
(Missing)	131	78.0%

Value	Count	Frequency (%)
0.005	2	1.2%
0.0051	1	0.6%
0.006	3	1.8%
0.0061	2	1.2%
0.0062	1	0.6%
0.0064	1	0.6%
0.0069	1	0.6%
0.007	5	3.0%
0.0079	1	0.6%
0.008	1	0.6%

Value	Count	Frequency (%)
12	1	0.6%
10	1	0.6%
8	1	0.6%
7	2	1.2%
6	4	2.4%
5	2	1.2%
0.02	1	0.6%
0.015	1	0.6%
0.011	2	1.2%
0.01	1	0.6%

cd_total_mg_l
Unsupported

Missing Rejected Unsupported

Missing	168
Missing (%)	100.0%
Memory size	1.4 KiB

clorofila_a_ug_l
Real number (ℝ)

High correlation Missing Zeros

Distinct	67
Distinct (%)	88.2%
Missing	92
Missing (%)	54.8%
Infinite	0
Infinite (%)	0.0%
Mean	524.40263

Minimum	0
Maximum	6410
Zeros	5
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.85
median	45.05
Q3	451.1
95-th percentile	2600
Maximum	6410
Range	6410
Interquartile range (IQR)	448.25

Descriptive statistics

Standard deviation	1106.7598
Coefficient of variation (CV)	2.1105154
Kurtosis	12.687999
Mean	524.40263
Median Absolute Deviation (MAD)	44.9
Skewness	3.3179342
Sum	39854.6
Variance	1224917.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5	3.0%
0.3	3	1.8%
350	2	1.2%
0.2	2	1.2%
0.6	2	1.2%
70.8	1	0.6%
20.7	1	0.6%
130.2	1	0.6%
42.1	1	0.6%
140.8	1	0.6%
Other values (57)	57	33.9%
(Missing)	92	54.8%

Value	Count	Frequency (%)
0	5	3.0%
0.1	1	0.6%
0.2	2	1.2%
0.3	3	1.8%
0.4	1	0.6%
0.5	1	0.6%
0.6	2	1.2%
0.7	1	0.6%
0.8	1	0.6%
1	1	0.6%

Value	Count	Frequency (%)
6410	1	0.6%
4650	1	0.6%
3590	1	0.6%
2900	1	0.6%
2500	1	0.6%
2130	1	0.6%
1960	1	0.6%
1730	1	0.6%
1400	1	0.6%
1290	1	0.6%

microcistina_ug_l
Real number (ℝ)

High correlation Missing

Distinct	6
Distinct (%)	85.7%
Missing	161
Missing (%)	95.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.68

Minimum	0.19
Maximum	1.67
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	0.19
5-th percentile	0.193
Q1	0.25
median	0.4
Q3	1
95-th percentile	1.469
Maximum	1.67
Range	1.48
Interquartile range (IQR)	0.75

Descriptive statistics

Standard deviation	0.55949382
Coefficient of variation (CV)	0.82278503
Kurtosis	-0.069460209
Mean	0.68
Median Absolute Deviation (MAD)	0.21
Skewness	0.97357994
Sum	4.76
Variance	0.31303333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	2	1.2%
0.2	1	0.6%
0.4	1	0.6%
0.3	1	0.6%
1.67	1	0.6%
0.19	1	0.6%
(Missing)	161	95.8%

Value	Count	Frequency (%)
0.19	1	0.6%
0.2	1	0.6%
0.3	1	0.6%
0.4	1	0.6%
1	2	1.2%
1.67	1	0.6%

Value	Count	Frequency (%)
1.67	1	0.6%
1	2	1.2%
0.4	1	0.6%
0.3	1	0.6%
0.2	1	0.6%
0.19	1	0.6%

ica
Real number (ℝ)

High correlation Missing

Distinct	38
Distinct (%)	24.7%
Missing	14
Missing (%)	8.3%
Infinite	0
Infinite (%)	0.0%
Mean	44.071429

Minimum	23
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 KiB

Quantile statistics

Minimum	23
5-th percentile	33
Q1	38
median	42
Q3	50
95-th percentile	59.35
Maximum	76
Range	53
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.9487335
Coefficient of variation (CV)	0.20305068
Kurtosis	0.32568788
Mean	44.071429
Median Absolute Deviation (MAD)	5
Skewness	0.65752044
Sum	6787
Variance	80.079832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
40	13	7.7%
42	10	6.0%
37	10	6.0%
36	9	5.4%
38	8	4.8%
45	7	4.2%
39	7	4.2%
41	7	4.2%
46	7	4.2%
55	6	3.6%
Other values (28)	70	41.7%
(Missing)	14	8.3%

Value	Count	Frequency (%)
23	1	0.6%
25	1	0.6%
29	2	1.2%
31	1	0.6%
32	2	1.2%
33	4	2.4%
34	3	1.8%
35	5	3.0%
36	9	5.4%
37	10	6.0%

Value	Count	Frequency (%)
76	1	0.6%
67	1	0.6%
64	1	0.6%
62	1	0.6%
61	2	1.2%
60	2	1.2%
59	5	3.0%
58	4	2.4%
57	1	0.6%
56	2	1.2%

calidad_de_agua
Categorical

High correlation Missing

Distinct	3
Distinct (%)	1.9%
Missing	14
Missing (%)	8.3%
Memory size	1.4 KiB

Extremadamente deteriorada	92
Muy deteriorada	60
Deteriorada	2

Length

Max length	26
Median length	26
Mean length	21.519481
Min length	11

Characters and Unicode

Total characters	3314
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Muy deteriorada
2nd row	Extremadamente deteriorada
3rd row	Muy deteriorada
4th row	Muy deteriorada
5th row	Extremadamente deteriorada

Common Values

Value	Count	Frequency (%)
Extremadamente deteriorada	92	54.8%
Muy deteriorada	60	35.7%
Deteriorada	2	1.2%
(Missing)	14	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
deteriorada	154	50.3%
extremadamente	92	30.1%
muy	60	19.6%

Most occurring characters

Value	Count	Frequency (%)
e	584	17.6%
a	492	14.8%
r	400	12.1%
d	398	12.0%
t	338	10.2%
m	184	5.6%
i	154	4.6%
o	154	4.6%
	152	4.6%
E	92	2.8%
Other values (6)	366	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	584	17.6%
a	492	14.8%
r	400	12.1%
d	398	12.0%
t	338	10.2%
m	184	5.6%
i	154	4.6%
o	154	4.6%
	152	4.6%
E	92	2.8%
Other values (6)	366	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	584	17.6%
a	492	14.8%
r	400	12.1%
d	398	12.0%
t	338	10.2%
m	184	5.6%
i	154	4.6%
o	154	4.6%
	152	4.6%
E	92	2.8%
Other values (6)	366	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	584	17.6%
a	492	14.8%
r	400	12.1%
d	398	12.0%
t	338	10.2%
m	184	5.6%
i	154	4.6%
o	154	4.6%
	152	4.6%
E	92	2.8%
Other values (6)	366	11.0%

Interactions

Correlations

	año	calidad_de_agua	campaña	clorofila_a_ug_l	codigo	color	cr_total_mg_l	dbo_mg_l	dqo_mg_l	espumas	fecha	ica	mat_susp	microcistina_ug_l	od	olores	ph	sitios	tem_agua	tem_aire	turbiedad_ntu
año	1.000	1.000	0.991	1.000	0.000	0.251	1.000	1.000	1.000	0.289	0.988	1.000	0.202	1.000	1.000	0.255	1.000	0.000	1.000	1.000	1.000
calidad_de_agua	1.000	1.000	0.135	0.000	0.258	0.135	0.189	0.035	0.000	0.144	0.110	0.977	0.194	0.000	0.167	0.196	0.000	0.258	0.180	0.100	0.000
campaña	0.991	0.135	1.000	0.333	0.000	0.225	0.461	0.205	0.377	0.320	0.997	0.287	0.249	0.387	0.130	0.278	0.106	0.000	0.677	0.536	0.317
clorofila_a_ug_l	1.000	0.000	0.333	1.000	0.000	0.000	-0.495	0.527	0.261	0.000	0.244	-0.510	0.000	0.316	0.201	0.000	0.187	0.000	-0.521	0.003	-0.119
codigo	0.000	0.258	0.000	0.000	1.000	0.432	0.000	0.134	0.000	0.481	0.000	0.000	0.425	1.000	0.162	0.378	0.176	1.000	0.000	0.000	0.066
color	0.251	0.135	0.225	0.000	0.432	1.000	0.073	0.000	0.000	0.839	0.226	0.161	0.660	0.200	0.259	0.825	0.031	0.432	0.134	0.387	0.087
cr_total_mg_l	1.000	0.189	0.461	-0.495	0.000	0.073	1.000	0.214	0.092	0.114	0.461	-0.070	0.118	NaN	0.143	0.094	-0.077	0.000	0.127	-0.491	-0.060
dbo_mg_l	1.000	0.035	0.205	0.527	0.134	0.000	0.214	1.000	0.196	0.000	0.205	-0.476	0.000	1.000	0.216	0.044	0.253	0.134	-0.233	-0.229	-0.254
dqo_mg_l	1.000	0.000	0.377	0.261	0.000	0.000	0.092	0.196	1.000	0.000	0.377	-0.277	0.000	0.505	0.036	0.000	0.042	0.000	-0.519	-0.455	0.249
espumas	0.289	0.144	0.320	0.000	0.481	0.839	0.114	0.000	0.000	1.000	0.322	0.086	0.698	1.000	0.159	0.851	0.000	0.481	0.252	0.414	0.165
fecha	0.988	0.110	0.997	0.244	0.000	0.226	0.461	0.205	0.377	0.322	1.000	0.234	0.266	0.387	0.089	0.277	0.106	0.000	0.583	0.599	0.250
ica	1.000	0.977	0.287	-0.510	0.000	0.161	-0.070	-0.476	-0.277	0.086	0.234	1.000	0.200	0.118	0.258	0.278	0.029	0.000	0.320	0.044	0.246
mat_susp	0.202	0.194	0.249	0.000	0.425	0.660	0.118	0.000	0.000	0.698	0.266	0.200	1.000	0.775	0.285	0.674	0.200	0.425	0.220	0.335	0.150
microcistina_ug_l	1.000	0.000	0.387	0.316	1.000	0.200	NaN	1.000	0.505	1.000	0.387	0.118	0.775	1.000	-0.126	1.000	0.406	1.000	-0.054	0.091	-0.072
od	1.000	0.167	0.130	0.201	0.162	0.259	0.143	0.216	0.036	0.159	0.089	0.258	0.285	-0.126	1.000	0.152	0.605	0.162	-0.279	-0.147	0.222
olores	0.255	0.196	0.278	0.000	0.378	0.825	0.094	0.044	0.000	0.851	0.277	0.278	0.674	1.000	0.152	1.000	0.234	0.378	0.024	0.457	0.194
ph	1.000	0.000	0.106	0.187	0.176	0.031	-0.077	0.253	0.042	0.000	0.106	0.029	0.200	0.406	0.605	0.234	1.000	0.176	-0.243	-0.171	0.025
sitios	0.000	0.258	0.000	0.000	1.000	0.432	0.000	0.134	0.000	0.481	0.000	0.000	0.425	1.000	0.162	0.378	0.176	1.000	0.000	0.000	0.066
tem_agua	1.000	0.180	0.677	-0.521	0.000	0.134	0.127	-0.233	-0.519	0.252	0.583	0.320	0.220	-0.054	-0.279	0.024	-0.243	0.000	1.000	0.713	-0.070
tem_aire	1.000	0.100	0.536	0.003	0.000	0.387	-0.491	-0.229	-0.455	0.414	0.599	0.044	0.335	0.091	-0.147	0.457	-0.171	0.000	0.713	1.000	-0.154
turbiedad_ntu	1.000	0.000	0.317	-0.119	0.066	0.087	-0.060	-0.254	0.249	0.165	0.250	0.246	0.150	-0.072	0.222	0.194	0.025	0.066	-0.070	-0.154	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	sitios	codigo	fecha	año	campaña	tem_agua	tem_aire	od	ph	olores	color	espumas	mat_susp	colif_fecales_ufc_100ml	escher_coli_ufc_100ml	enteroc_ufc_100ml	nitrato_mg_l	nh4_mg_l	p_total_l_mg_l	fosf_ortofos_mg_l	dbo_mg_l	dqo_mg_l	turbiedad_ntu	hidr_deriv_petr_ug_l	cr_total_mg_l	cd_total_mg_l	clorofila_a_ug_l	microcistina_ug_l	ica	calidad_de_agua
0	Canal Villanueva y Río Luján	TI001	23/2/2022	2022	Verano	24.5	23.3	5.30	6.56	False	False	False	True	2200	100	130	2.9	0.42	0.23	0.15	6.2	29.0	90.0	NaN	NaN	NaN	NaN	NaN	55.0	Muy deteriorada
1	Río Lujan y Arroyo Caraguatá	TI006	23/2/2022	2022	Verano	25.4	23.3	2.25	6.56	True	True	False	False	1200	200	400	3.3	0.51	0.41	0.35	5.8	29.0	34.0	NaN	NaN	NaN	NaN	NaN	42.0	Extremadamente deteriorada
2	Canal Aliviador y Río Lujan	TI002	23/2/2022	2022	Verano	24.6	23.3	2.94	6.59	False	True	False	False	1800	200	580	6.5	0.05	0.59	0.54	1.9	29.0	17.0	NaN	NaN	NaN	NaN	0.2	45.0	Muy deteriorada
3	Río Carapachay y Arroyo Gallo Fiambre	TI003	23/2/2022	2022	Verano	25.2	23.3	2.22	7.45	True	True	False	False	1400	100	300	7.4	1	0.38	0.4	5.8	29.0	23.0	NaN	NaN	NaN	NaN	NaN	46.0	Muy deteriorada
4	Río Reconquista y Río Lujan	TI004	23/2/2022	2022	Verano	24.1	20.0	1.02	6.39	False	True	False	True	1100	100	370	8.8	0.049	0.55	0.54	2.6	59.0	18.0	NaN	NaN	NaN	NaN	NaN	44.0	Extremadamente deteriorada
5	Rio Tigre 100m antes del Rio Luján	TI005	23/2/2022	2022	Verano	24.9	23.3	3.50	6.53	False	False	False	True	3200	200	750	4.4	3.5	1.1	0.91	3.9	130.0	8.9	NaN	NaN	NaN	NaN	NaN	40.0	Extremadamente deteriorada
6	Río Lujan y Canal San Fernando	TI007	23/2/2022	2022	Verano	24.5	20.0	1.50	6.54	False	True	False	True	18000	1500	100	5.6	2	0.73	0.6	3.5	42.0	12.0	NaN	NaN	NaN	NaN	0.4	35.0	Extremadamente deteriorada
7	Río Capitán y Río San Antonio	TI008	23/2/2022	2022	Verano	24.5	21.0	6.30	6.48	False	True	False	False	1000	200	1200	3.1	0.049	0.17	0.16	5.5	69.0	90.0	NaN	NaN	NaN	NaN	NaN	46.0	Muy deteriorada
8	Arroyo Abra Vieja y Santa Rosa	TI009	23/2/2022	2022	Verano	23.4	21.0	4.49	6.76	False	False	False	False	400	100	220	1.9	0.1	0.21	0.19	1.9	29.0	39.0	NaN	NaN	NaN	NaN	NaN	58.0	Muy deteriorada
9	Del Arca	SF015	23/2/2022	2022	Verano	21.5	23.0	3.85	6.66	False	False	False	True	2200	100	270	5.4	0.049	0.28	0.39	1.9	29.0	28.0	NaN	NaN	NaN	NaN	NaN	51.0	Muy deteriorada

	sitios	codigo	fecha	año	campaña	tem_agua	tem_aire	od	ph	olores	color	espumas	mat_susp	colif_fecales_ufc_100ml	escher_coli_ufc_100ml	enteroc_ufc_100ml	nitrato_mg_l	nh4_mg_l	p_total_l_mg_l	fosf_ortofos_mg_l	dbo_mg_l	dqo_mg_l	turbiedad_ntu	hidr_deriv_petr_ug_l	cr_total_mg_l	cd_total_mg_l	clorofila_a_ug_l	microcistina_ug_l	ica	calidad_de_agua
158	Boca Cerrada (Res.Nat. Punta Lara)	EN-extra	31/10/2022	2022	Primavera	NaN	10.0	NaN	NaN	False	False	False	False	150	100	30	6.2	0.14	0.60	0.38	NaN	72.0	39.0	NaN	10.0	NaN	74.2	NaN	41.0	Extremadamente deteriorada
159	Camping Eva Perón	EN081	31/10/2022	2022	Primavera	16.0	7.0	11.05	NaN	False	False	False	False	210	80	90	5.9	0.15	0.36	0.21	NaN	33.0	31.0	NaN	NaN	NaN	36.5	0.19	38.0	Extremadamente deteriorada
160	Toma de agua Club de Pesca	EN082	31/10/2022	2022	Primavera	17.2	6.0	8.38	NaN	False	False	False	False	95	35	50	5.7	0.41	0.29	0.23	NaN	46.0	26.0	NaN	NaN	NaN	29.4	NaN	41.0	Extremadamente deteriorada
161	Arroyo El Gato	EN083	31/10/0202	2022	Primavera	18.0	4.0	7.36	NaN	False	False	False	False	800	700	220	5.4	2.3	0.36	0.23	NaN	NaN	23.0	NaN	NaN	NaN	16.7	NaN	37.0	Extremadamente deteriorada
162	Ensenada Prefectura Isla Santiago	EN084	31/10/0202	2022	Primavera	17.1	5.0	8.98	NaN	False	False	False	False	130	30	45	6.1	0.4	0.24	0.24	NaN	NaN	39.0	NaN	NaN	NaN	0.6	NaN	54.0	Muy deteriorada
163	Balneario Palo Blanco	BS092	31/10/2022	2022	Primavera	10.0	12.0	NaN	NaN	False	False	False	True	800	600	400	6.9	0.38	0.24	0.24	NaN	NaN	23.0	NaN	NaN	NaN	2.1	NaN	43.0	Extremadamente deteriorada
164	Diagonal 66 (descarga cloaca)	BS095	31/10/2022	2022	Primavera	10.0	12.0	NaN	NaN	False	True	False	True	80000	80000	12000	5.2	1.2	30.12	0.39	NaN	31.0	18.2	NaN	NaN	NaN	20.2	NaN	37.0	Extremadamente deteriorada
165	Playa La Bagliardi	BS091	31/10/2022	2022	Primavera	10.0	12.0	NaN	NaN	False	False	False	True	1400	1000	380	4.6	0.8	0.45	0.43	NaN	NaN	40.0	NaN	NaN	NaN	0.2	NaN	49.0	Muy deteriorada
166	Balneario Municipal	BS094	31/10/2022	2022	Primavera	10.0	12.0	NaN	NaN	False	False	False	True	1800	1500	500	5.2	0.55	0.27	0.27	NaN	39.0	90.0	NaN	5.0	NaN	10.5	NaN	39.0	Extremadamente deteriorada
167	Playa La Balandra	BS093	31/10/2022	2022	Primavera	10.0	12.0	NaN	NaN	False	False	False	True	900	600	480	5.1	0.21	0.48	0.35	NaN	NaN	70.0	NaN	5.0	NaN	48.0	NaN	34.0	Extremadamente deteriorada

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts